MOPED enables discoveries through consistently processed proteomics data

Area of Science:

• Proteomics
• Bioinformatics
• Systems Biology

Background:

• The Model Organism Protein Expression Database (MOPED) serves as a crucial proteomics resource.
• It aggregates standardized protein expression and metadata from mass spectrometry experiments across human and model organisms.

Purpose of the Study:

• To enhance MOPED with new protein abundance, concentration, and differential expression data.
• To improve the query interface for easier data exploration by organism, tissue, localization, condition, experiment, or keyword.
• To support the Human Proteome Project and facilitate multi-omics data integration.

Main Methods:

• Aggregation of proteomics data from human and model organisms (mouse, worm, yeast).
• Implementation of a new query interface for comprehensive data exploration.
• Integration of links to chromosome and disease information, supporting the Human Proteome Project.
• Development of an omics metadata checklist for data harmonization.

Main Results:

• MOPED now includes updated estimates of protein abundance, concentration, and relative expression.
• An improved query interface allows for detailed exploration of proteomics data.
• Enhanced support for the Human Proteome Project and disease-specific proteomes.
• A new omics metadata checklist promotes standardized data integration and analysis.

Conclusions:

• MOPED's latest version offers expanded proteomics data and improved accessibility for biological discovery.
• Community-driven development is transforming MOPED into a multi-omics resource.
• Standardized data submission and the metadata checklist will foster deeper insights into complex biological systems.